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RooQuiz

get_active_tenant

Read-only

Return the team (tenant) this token is currently operating against. All write tools default to this team. Also reports examineeSignupDisabled: when true this team has switched respondent self-signup off, so only respondents already on its roster can sign in — every quiz that asks for a login (submissionAccess examinee_only, or login_to_view_report at the report gate) turns away anyone new. Check it before blaming a quiz for "nobody can submit".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoTeam id
nameNoTeam name
roleNoYour role in this team
slugNoTeam slug
examineeSignupDisabledNotrue = respondent self-signup is off for this team, so any quiz that asks for a login turns away respondents who are not on the roster yet

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already mark this as safe and read-only, and the description adds substantial behavioral context beyond them: the team is the default for all write tools, and examineeSignupDisabled means new respondents cannot sign in at login-gated quizzes. This greatly helps the agent interpret results without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loads the core purpose, then explains an important diagnostic flag. Every clause earns its place; no filler or repeated structural metadata.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema handles return structure and there are no params, this description provides the contextual information an agent needs to interpret and use the result, including the critical examineeSignupDisabled nuance and its user-facing consequences.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema description coverage is 100%, so there is nothing for the description to clarify. Baseline 4 is appropriate since there is no parameter burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific operation with verb and resource: "Return the team (tenant) this token is currently operating against." It also clarifies the team's role as write default, making it instantly distinguishable from siblings like list_my_tenants and switch_active_tenant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to call it: to identify the active tenant before write operations and specifically to check examineeSignupDisabled before diagnosing submission failures. It does not explicitly name alternatives, but practical use cases are clear and no exclusions are needed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.1/5.0
Disambiguation4/5

Most tools pair a distinct resource with a distinct verb, and the descriptions do a good job of separating related concepts like leads, records, examinees, and bookings. The only real ambiguity is between list_records (submission records, also called leads) and list_leads (CRM leads), plus a mild overlap between update_form and update_form_settings, but careful reading resolves both.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, using standard verbs like get_, list_, create_, update_, delete_, add_, insert_, move_, and set_. Minor stylistic variation such as add_question vs. insert_question is still predictable and does not hurt usability.

Tool Count2/5

48 tools is a very heavy surface for an MCP server. While each tool appears purposeful, the server spans forms, questions, translations, analytics, leads, bookings, examinees, media, and team administration, making it feel like a full platform API rather than a focused server. Most agents will only ever need a subset of these tools.

Completeness4/5

The core quiz lifecycle is well covered: form creation/editing/deletion/restore/duplicate/translation, question CRUD/move, delivery settings, statistics/funnels, lead CRM, bookings, examinees, media upload, and tenant basics. The main gaps are minor — no member list/remove/role management beyond invite, no media library listing/deletion, and no bulk export of records — but these do not create dead ends in the primary quiz/lead/booking workflows.

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